Pakistani vs Chinese Unemployment Among Ages 30 to 34 years
COMPARE
Pakistani
Chinese
Unemployment Among Ages 30 to 34 years
Unemployment Among Ages 30 to 34 years Comparison
Pakistanis
Chinese
5.4%
UNEMPLOYMENT AMONG AGES 30 TO 34 YEARS
74.6/ 100
METRIC RATING
136th/ 347
METRIC RANK
5.1%
UNEMPLOYMENT AMONG AGES 30 TO 34 YEARS
97.7/ 100
METRIC RATING
55th/ 347
METRIC RANK
Pakistani vs Chinese Unemployment Among Ages 30 to 34 years Correlation Chart
The statistical analysis conducted on geographies consisting of 320,853,803 people shows a substantial positive correlation between the proportion of Pakistanis and unemployment rate among population between the ages 30 and 34 in the United States with a correlation coefficient (R) of 0.566 and weighted average of 5.4%. Similarly, the statistical analysis conducted on geographies consisting of 64,021,968 people shows a moderate positive correlation between the proportion of Chinese and unemployment rate among population between the ages 30 and 34 in the United States with a correlation coefficient (R) of 0.496 and weighted average of 5.1%, a difference of 4.9%.
Unemployment Among Ages 30 to 34 years Correlation Summary
Measurement | Pakistani | Chinese |
Minimum | 3.1% | 1.5% |
Maximum | 40.0% | 22.6% |
Range | 36.9% | 21.1% |
Mean | 9.4% | 6.0% |
Median | 5.6% | 5.1% |
Interquartile 25% (IQ1) | 5.0% | 3.8% |
Interquartile 75% (IQ3) | 9.6% | 7.0% |
Interquartile Range (IQR) | 4.6% | 3.2% |
Standard Deviation (Sample) | 8.9% | 3.8% |
Standard Deviation (Population) | 8.8% | 3.8% |
Similar Demographics by Unemployment Among Ages 30 to 34 years
Demographics Similar to Pakistanis by Unemployment Among Ages 30 to 34 years
In terms of unemployment among ages 30 to 34 years, the demographic groups most similar to Pakistanis are Immigrants from Canada (5.4%, a difference of 0.0%), Palestinian (5.4%, a difference of 0.050%), Serbian (5.4%, a difference of 0.16%), Bangladeshi (5.3%, a difference of 0.19%), and Lithuanian (5.4%, a difference of 0.20%).
Demographics | Rating | Rank | Unemployment Among Ages 30 to 34 years |
Poles | 78.8 /100 | #129 | Good 5.3% |
Germans | 77.8 /100 | #130 | Good 5.3% |
Immigrants | Eastern Europe | 77.4 /100 | #131 | Good 5.3% |
Carpatho Rusyns | 77.3 /100 | #132 | Good 5.3% |
Immigrants | Northern Europe | 77.3 /100 | #133 | Good 5.3% |
Bangladeshis | 76.6 /100 | #134 | Good 5.3% |
Palestinians | 75.1 /100 | #135 | Good 5.4% |
Pakistanis | 74.6 /100 | #136 | Good 5.4% |
Immigrants | Canada | 74.6 /100 | #137 | Good 5.4% |
Serbians | 72.9 /100 | #138 | Good 5.4% |
Lithuanians | 72.4 /100 | #139 | Good 5.4% |
Immigrants | North America | 72.2 /100 | #140 | Good 5.4% |
Immigrants | Europe | 72.1 /100 | #141 | Good 5.4% |
Immigrants | Greece | 72.0 /100 | #142 | Good 5.4% |
Russians | 71.1 /100 | #143 | Good 5.4% |
Demographics Similar to Chinese by Unemployment Among Ages 30 to 34 years
In terms of unemployment among ages 30 to 34 years, the demographic groups most similar to Chinese are Immigrants from Serbia (5.1%, a difference of 0.19%), Immigrants from Morocco (5.1%, a difference of 0.20%), Immigrants from China (5.1%, a difference of 0.33%), Asian (5.1%, a difference of 0.34%), and Cuban (5.1%, a difference of 0.38%).
Demographics | Rating | Rank | Unemployment Among Ages 30 to 34 years |
Assyrians/Chaldeans/Syriacs | 98.4 /100 | #48 | Exceptional 5.1% |
Immigrants | Malaysia | 98.3 /100 | #49 | Exceptional 5.1% |
Puget Sound Salish | 98.2 /100 | #50 | Exceptional 5.1% |
Turks | 98.2 /100 | #51 | Exceptional 5.1% |
Immigrants | Burma/Myanmar | 98.1 /100 | #52 | Exceptional 5.1% |
Cubans | 98.1 /100 | #53 | Exceptional 5.1% |
Immigrants | Morocco | 97.9 /100 | #54 | Exceptional 5.1% |
Chinese | 97.7 /100 | #55 | Exceptional 5.1% |
Immigrants | Serbia | 97.4 /100 | #56 | Exceptional 5.1% |
Immigrants | China | 97.2 /100 | #57 | Exceptional 5.1% |
Asians | 97.2 /100 | #58 | Exceptional 5.1% |
Swedes | 97.1 /100 | #59 | Exceptional 5.1% |
Immigrants | Somalia | 97.1 /100 | #60 | Exceptional 5.1% |
Indians (Asian) | 97.0 /100 | #61 | Exceptional 5.1% |
Immigrants | France | 97.0 /100 | #62 | Exceptional 5.1% |